Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "28"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 28 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 31 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 29 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 28, Node N01:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459846 RF_maintenance 100.00% 0.00% 74.36% 0.00% 100.00% 0.00% 17.755846 33.659504 1.095263 1.669765 23.097415 23.367480 5.858055 23.459054 0.5182 0.2569 0.3181 9.004889 2.923893
2459845 RF_maintenance 100.00% 46.99% 91.21% 0.00% 100.00% 0.00% 22.449308 44.387077 1.220613 6.054830 10.643303 18.471503 4.470694 38.135900 0.4341 0.2129 0.2511 1.837559 1.177898
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.001004 42.172743 0.694648 70.820603 0.048898 12.089623 1.179074 15.156064 0.0254 0.0285 0.0024 nan nan
2459843 RF_maintenance 100.00% 38.86% 92.90% 0.00% 100.00% 0.00% 26.200746 53.751217 1.203030 1.859777 7.573921 35.392439 3.627772 33.785425 0.4398 0.2104 0.2672 5.355609 2.077416
2459842 RF_maintenance 100.00% 89.25% 100.00% 0.00% 100.00% 0.00% 15.084017 29.791012 0.963024 0.480103 16.357803 9.092842 1.333181 16.929714 0.3303 0.1283 0.1812 6.686329 1.813278
2459841 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 1.769838 44.939756 -0.789702 46.217821 -1.577821 18.142731 1.054512 11.641806 0.0253 0.0279 0.0028 nan nan
2459840 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.762083 4.845766 -1.151536 -0.889352 0.282118 9.436810 -0.152209 9.198430 0.0238 0.0242 0.0006 nan nan
2459839 RF_maintenance 100.00% - - - - - 0.758552 3.001204 0.074369 -0.317308 -0.697502 1.643850 -0.519501 11.124801 nan nan nan nan nan
2459838 RF_maintenance 100.00% 52.73% 100.00% 0.00% 100.00% 0.00% 21.655106 41.112445 0.341639 2.623863 18.017492 24.974837 3.517399 17.228685 0.3737 0.1593 0.2449 6.820245 2.495681
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0406 0.0405 0.0018 nan nan
2459835 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -1.383931 -0.602437 -0.746871 -0.895874 -0.394244 2.484462 3.178977 2.798801 0.0379 0.0404 0.0015 nan nan
2459833 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 0.841764 11.245590 0.262695 18.340164 0.316318 12.123955 1.202394 11.641879 0.0344 0.0426 0.0022 nan nan
2459832 RF_maintenance 100.00% 48.39% 100.00% 0.00% 100.00% 0.00% 22.294078 43.439170 -0.033139 1.136467 13.338306 12.908492 8.189309 27.155461 0.3958 0.1545 0.2817 4.939767 1.842228
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 0.253390 2.533174 0.354516 -0.314777 -0.369923 2.736196 -0.460770 7.613575 0.0465 0.0533 0.0029 nan nan
2459830 RF_maintenance 100.00% 40.32% 100.00% 0.00% 100.00% 0.00% 22.045438 41.403399 0.262637 1.483739 26.199776 29.853514 6.505123 50.345922 0.4031 0.1612 0.2871 7.570243 2.947335
2459829 RF_maintenance 100.00% 52.09% 100.00% 0.00% 100.00% 0.00% 31.283539 64.397130 0.413847 2.205594 14.211468 18.799982 10.486719 61.246613 0.3769 0.1493 0.2464 1.105670 1.101224
2459828 RF_maintenance 100.00% 32.26% 100.00% 0.00% 100.00% 0.00% 16.786313 35.123930 0.237935 2.228143 26.419989 27.118276 10.532015 158.858357 0.4185 0.1632 0.2861 8.158640 2.778998
2459827 RF_maintenance 100.00% 49.95% 100.00% 0.00% 100.00% 0.00% 23.245928 46.594031 0.795715 3.178252 12.193221 13.611011 4.874171 20.993983 0.3824 0.1592 0.2483 6.782112 2.016351
2459826 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 15.696895 28.391023 0.576442 1.664842 37.274911 40.803980 9.228993 55.310869 0.4319 0.1890 0.2825 13.920556 4.199067
2459825 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 17.469207 28.978466 0.850888 1.010398 27.325142 30.236112 6.879443 11.794779 0.4347 0.1953 0.2862 2.995773 1.647728
2459824 RF_maintenance 100.00% 70.14% 100.00% 0.00% 100.00% 0.00% 20.846355 42.869545 0.730211 3.127496 12.942781 19.741691 13.806538 32.390805 0.3600 0.1594 0.2237 1.811839 1.297568
2459823 RF_maintenance 100.00% 43.53% 100.00% 0.00% 100.00% 0.00% 14.719953 17.083429 5.590782 6.759681 31.755610 37.682714 24.315739 103.816295 0.3799 0.1536 0.2390 23.376009 5.418071
2459822 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 16.516410 26.687773 1.818838 3.625804 26.798528 29.159129 3.535647 14.027200 0.4499 0.2028 0.2993 10.699155 2.894699
2459821 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 16.131419 26.585149 2.251549 3.621088 24.093446 26.791102 0.801877 6.150969 0.4681 0.2266 0.3090 15.230264 3.758670
2459820 RF_maintenance 100.00% 38.67% 100.00% 0.00% 100.00% 0.00% 21.259196 44.498902 0.685053 2.355346 36.650121 46.130707 6.100808 46.155915 0.4209 0.1867 0.2743 8.612810 2.214425
2459817 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 14.595943 19.879488 3.742317 5.566344 32.278581 34.752726 4.082866 19.022659 0.5055 0.2577 0.3316 13.976447 3.224179
2459816 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 12.746953 23.943176 0.734717 1.612514 37.463171 42.487893 13.567631 59.263339 0.4619 0.2060 0.3130 7.235637 3.017174
2459815 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 13.985578 16.305540 4.190103 5.705753 42.888180 47.652189 17.307397 54.497215 0.4930 0.2525 0.3340 17.645247 3.186473
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 28: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 33.659504 17.755846 33.659504 1.095263 1.669765 23.097415 23.367480 5.858055 23.459054

Antenna 28: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 44.387077 44.387077 22.449308 6.054830 1.220613 18.471503 10.643303 38.135900 4.470694

Antenna 28: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Power 70.820603 -0.001004 42.172743 0.694648 70.820603 0.048898 12.089623 1.179074 15.156064

Antenna 28: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 53.751217 53.751217 26.200746 1.859777 1.203030 35.392439 7.573921 33.785425 3.627772

Antenna 28: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 29.791012 15.084017 29.791012 0.963024 0.480103 16.357803 9.092842 1.333181 16.929714

Antenna 28: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Power 46.217821 1.769838 44.939756 -0.789702 46.217821 -1.577821 18.142731 1.054512 11.641806

Antenna 28: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Variability 9.436810 -0.762083 4.845766 -1.151536 -0.889352 0.282118 9.436810 -0.152209 9.198430

Antenna 28: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 11.124801 3.001204 0.758552 -0.317308 0.074369 1.643850 -0.697502 11.124801 -0.519501

Antenna 28: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 41.112445 41.112445 21.655106 2.623863 0.341639 24.974837 18.017492 17.228685 3.517399

Antenna 28: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance ee Temporal Discontinuties 3.178977 -0.602437 -1.383931 -0.895874 -0.746871 2.484462 -0.394244 2.798801 3.178977

Antenna 28: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Power 18.340164 11.245590 0.841764 18.340164 0.262695 12.123955 0.316318 11.641879 1.202394

Antenna 28: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 43.439170 22.294078 43.439170 -0.033139 1.136467 13.338306 12.908492 8.189309 27.155461

Antenna 28: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 7.613575 0.253390 2.533174 0.354516 -0.314777 -0.369923 2.736196 -0.460770 7.613575

Antenna 28: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 50.345922 22.045438 41.403399 0.262637 1.483739 26.199776 29.853514 6.505123 50.345922

Antenna 28: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 64.397130 64.397130 31.283539 2.205594 0.413847 18.799982 14.211468 61.246613 10.486719

Antenna 28: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 158.858357 35.123930 16.786313 2.228143 0.237935 27.118276 26.419989 158.858357 10.532015

Antenna 28: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 46.594031 23.245928 46.594031 0.795715 3.178252 12.193221 13.611011 4.874171 20.993983

Antenna 28: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 55.310869 28.391023 15.696895 1.664842 0.576442 40.803980 37.274911 55.310869 9.228993

Antenna 28: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Variability 30.236112 28.978466 17.469207 1.010398 0.850888 30.236112 27.325142 11.794779 6.879443

Antenna 28: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 42.869545 20.846355 42.869545 0.730211 3.127496 12.942781 19.741691 13.806538 32.390805

Antenna 28: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 103.816295 17.083429 14.719953 6.759681 5.590782 37.682714 31.755610 103.816295 24.315739

Antenna 28: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Variability 29.159129 16.516410 26.687773 1.818838 3.625804 26.798528 29.159129 3.535647 14.027200

Antenna 28: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Variability 26.791102 26.585149 16.131419 3.621088 2.251549 26.791102 24.093446 6.150969 0.801877

Antenna 28: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 46.155915 21.259196 44.498902 0.685053 2.355346 36.650121 46.130707 6.100808 46.155915

Antenna 28: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Variability 34.752726 14.595943 19.879488 3.742317 5.566344 32.278581 34.752726 4.082866 19.022659

Antenna 28: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 59.263339 23.943176 12.746953 1.612514 0.734717 42.487893 37.463171 59.263339 13.567631

Antenna 28: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 54.497215 16.305540 13.985578 5.705753 4.190103 47.652189 42.888180 54.497215 17.307397

Antenna 28: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 28: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: